The position is for a Data Analytics Engineer at Dotmatics, located in Canada, and is remote-friendly.
The role involves delivering actionable insights that enhance business operations and empower cross-functional teams with reliable data.
Responsibilities include building and maintaining scalable reports and dashboards, collaborating with various departments to identify KPIs, and conducting ad hoc analyses to address urgent business questions.
The engineer will support data self-service efforts and contribute to improving data quality and documentation through standardization and best practices.
The position requires 2–5 years of experience in analytics engineering, data engineering, or related analytical roles, along with a Bachelor's degree in a quantitative or technical field or equivalent experience.
Advanced SQL skills are necessary, along with the ability to collaborate with business stakeholders and maintain data documentation.
Requirements:
Candidates must have 2–5 years of experience in analytics engineering, data engineering, or related analytical roles.
A Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Math, Economics) or equivalent experience is required.
Advanced SQL skills with strong knowledge of window functions, CTEs, and query optimization are essential.
Proven ability to collaborate with business stakeholders to define requirements and translate them into analytical outputs is necessary.
Experience maintaining data documentation, such as data dictionaries and dbt Docs, is required.
A strong analytical mindset with a curious, self-driven attitude and attention to detail is essential.
Benefits:
The position offers a remote-friendly culture with a collaborative global team.
Employees will engage in meaningful work that contributes to scientific progress and innovation.
A competitive compensation and benefits package is provided.
Opportunities for continuous learning and professional development are available.
The company promotes an inclusive environment that encourages diversity, openness, and integrity.
Employees will be part of the world’s largest cloud-based scientific R&D platform.
